as_draws_df.spbp

Convert spbp Bayesian fit to posterior draws

Semiparametric survival analysis based on Bernstein polynomials.
'spsurv' includes proportional hazards, proportional odds and accelerated
failure time frameworks for right-censored data. RV Panaro (2020)
<doi:10.48550/arXiv.2003.10548>.

Renato Panaro

spsurv

Bernstein Polynomial Based Semiparametric Survival Analysis

Fábio Demarqui

Vinicius Mayrink

as_draws_df.spbp function

<dl><dt>x</dt>
<dd>A fitted <code>"spbp"</code> object from <code>approach = "bayes"</code>.</dd>
<dt>variables</dt>
<dd>Character vector of posterior components to include
(<code>"beta"</code>, <code>"gamma"</code>, <code>"log_lik"</code>).</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Convert spbp Bayesian fit to posterior draws — as_draws_df.spbp

<dl>

<dt>x</dt>
<dd>A fitted <code>"spbp"</code> object from <code>approach = "bayes"</code>.</dd>


<dt>variables</dt>
<dd>Character vector of posterior components to include
(<code>"beta"</code>, <code>"gamma"</code>, <code>"log_lik"</code>).</dd>


<dt>...</dt>
<dd>Not used.</dd>

</dl>

as_draws_df.spbp: Convert spbp Bayesian fit to posterior draws

Description

Usage

Value

Arguments